One of the main difficulties in any statistical method is whether the data could have actually been drawn from that fitted distribution or not. To extend in circular data, it is necessary to consider nature feature of this data. The Wrapped Normal and Von Mises are two most important and famous distributions in circular. Based on the auther’s knowledge, there is no Goodness-of-Fit test for Wrapped Normal. To enhance this issue, in this paper, we present an appropriate test and compare its performance based on simulation study.
(2019). Goodness of Fit Test For Wrapped Normal Distribution [poster communication - poster]. Retrieved from http://hdl.handle.net/10446/146891
Goodness of Fit Test For Wrapped Normal Distribution
2019-01-01
Abstract
One of the main difficulties in any statistical method is whether the data could have actually been drawn from that fitted distribution or not. To extend in circular data, it is necessary to consider nature feature of this data. The Wrapped Normal and Von Mises are two most important and famous distributions in circular. Based on the auther’s knowledge, there is no Goodness-of-Fit test for Wrapped Normal. To enhance this issue, in this paper, we present an appropriate test and compare its performance based on simulation study.| File | Dimensione del file | Formato | |
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